Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
Feng ZhouMeng-Meng YinCui-Na JiaoJing-Xiu ZhaoChun-Hou ZhengJin-Xing LiuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- multiple kernel learning
- gene function
- gene sets
- gene expression
- gene ontology
- secondary structure
- regulatory networks
- genome wide
- binding sites
- linear combination
- kernel methods
- learning problems
- microarray
- microarray data
- kernel function
- multi task
- feature selection
- protein protein interactions
- binary classification
- semi supervised learning
- learning models
- high throughput
- pairwise
- support vectors
- protein sequences
- support vector machine
- training data
- data mining